Autodesk Recruitment 2023 | Data Engineer | BS/ MS

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Autodesk Recruitment 2023 | Data Engineer | BS/ MS – Computer Science/ Maths/ Statistics | Delhi

Company: Autodesk India Pvt Ltd
Autodesk Recruitment 2023: Autodesk is an American multi-national software company that is committed to the cause of great design. With a product portfolio of 100+ software products across, Desktop, Cloud & Mobile, Autodesk caters to the design software needs of the architecture, engineering, construction, manufacturing, media and entertainment industries.

Autodesk is the creator of the leading design tool AutoCAD which is used to build everything from prestigious buildings like Burj Al Arab to revolutionary super cars like the Tesla Model S.

Company Website: www.autodesk.in

Position: Data engineer

Experience: 1-3 years

Job Location: Delhi

Salary: Best In Industry

Eligibility Criteria For Autodesk Recruitment 2023:

BS or MS in Comp. Science, Engineering, Math, Statistics etc
1-3 years with relevant data & analytics experience required
Advanced working SQL and No-SQL knowledge and experience working with relational Databases (SQL/ORACLE/MySQL etc.,)
Strong in Big data concepts of Data ingestion and BI tools (PowerBI)
Strong in python, API
Experience with AWS services (EC2, RDS, S3, Data pipeline/Glue, Lambda, Dynamo DB etc.)
Excellent data and statistical analysis skills
Strong verbal and written communication skills
Working knowledge on Graph database is a plus

Job Description:

We’re growing our Software Asset Management team within Autodesk’s Vendor Management organization. The team is seeking an experienced data engineer to build insights based on various Software/SaaS tools to help stakeholders for better decision making on Software renewals and on any software onboarding.

Responsibilities:

Develop and implement data ingestion solutions to fit business problems
Hands-on involvement in the design, development and implementation of optimal, scalable AWS services/BI(PowerBI) solutions
Understand, implement and automate ETL pipelines with better industry standards
Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, design infrastructure for greater scalability, etc
Developing, integrating, testing, and maintaining existing and new applications
Good working knowledge on Python
Solid understanding of how to design robust data workflows including optimization and user experience
Extract complex data from multiple sources into usable and meaningful reports and analysis
Perform ad hoc statistical and data mining analysis
Demonstrated experience in data modeling, scripting, reporting and effective user interface design is highly preferred
Creativity to go beyond current tools to deliver best solution to the problem
Work with cross functional team to understand the data extracted from different applications
Independent problem-solving skills and statistical analysis techniques required